MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
18162
Single Precision Score
20596
Half Precision Score
18212
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | HoukCC |
| Upload Date | November 03 2024 10:57 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,8 |
| Motherboard | Mac15,8 |
| CPU Information | |
|---|---|
| Name | Apple M3 Max |
| Topology | 1 Processor, 16 Cores |
| Identifier | Apple M3 Max |
| Base Frequency | 4.04 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7731
1.44 KIPS |
|
|
Image Classification (HP)
|
100% |
8910
1.66 KIPS |
|
|
Image Classification (Q)
|
97% |
7057
1.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16574
268.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
17283
280.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
18252
295.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
92132
107.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
95886
111.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
90181
105.7 IPS |
|
|
Object Detection (SP)
|
100% |
7533
597.5 IPS |
|
|
Object Detection (HP)
|
100% |
8051
638.6 IPS |
|
|
Object Detection (Q)
|
91% |
7300
583.3 IPS |
|
|
Face Detection (SP)
|
100% |
31501
374.3 IPS |
|
|
Face Detection (HP)
|
100% |
35430
421.0 IPS |
|
|
Face Detection (Q)
|
100% |
27557
327.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
37947
292.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
40276
310.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
33827
264.4 IPS |
|
|
Style Transfer (SP)
|
100% |
190173
244.5 IPS |
|
|
Style Transfer (HP)
|
100% |
205228
263.8 IPS |
|
|
Style Transfer (Q)
|
96% |
191653
247.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
25169
929.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26117
964.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21797
804.9 IPS |
|
|
Text Classification (SP)
|
100% |
2738
3.65 KIPS |
|
|
Text Classification (HP)
|
100% |
5179
6.91 KIPS |
|
|
Text Classification (Q)
|
93% |
5136
6.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
2804
48.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2918
50.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2368
40.9 IPS |
